Abstract: Methods, systems, and computer-readable storage media for receiving a record including a set of attributes, each attribute having an attribute value, the record representing automatic execution of an IT process within a managed system, retrieving a model representing historical executions of the IT process and including a set of distribution parameters associated with a first type of attribute and a set of probability distributions associated with a second type of attribute, determining, for a first attribute, a first score based on distribution parameters and a value, determining, for a second attribute, a second score based on a probability distribution and a value, the second attribute being of the second type of attribute, and selectively indicating that the IT process is anomalous based on an outlier score.

Abstract: Methods, systems, and computer-readable storage media for receiving a record including a set of attributes, each attribute having an attribute value, the record representing automatic execution of an IT process within a managed system, retrieving a model representing historical executions of the IT process and including a set of distribution parameters associated with a first type of attribute and a set of probability distributions associated with a second type of attribute, determining, for a first attribute, a first score based on distribution parameters and a value, determining, for a second attribute, a second score based on a probability distribution and a value, the second attribute being of the second type of attribute, and selectively indicating that the IT process is anomalous based on an outlier score.

Abstract: Status of software product(s) may be monitored through the cloud by Extract, Transform, Load (ETL) of status information, in the form of business process status indicators from customer tenants. Examples of such status indicators can include a backlog of tasks to be fulfilled, or a number of business documents present in specific processing states, which describe aspects of the business application and allow an understanding of the overall status of the monitored application. A data extractor component of a customer tenant may extract and transform the status indicators from a plurality of business documents. A data import framework of a central monitoring system may in turn employ mapping to condense that heterogeneous data into a monitoring-specific simplified status model.

Abstract: Embodiments of the present invention provide a central monitoring system for enterprise resource planning software hosted in a plurality of customer tenants. The central monitoring system may include software instructions that when executed by a computer processor, performs a method include extracting process status data from one or more customer tenants independently, transforming the extracted process status data to generate generalized status codes according to predetermined status codes, transferring the generated generalized status codes to a central monitoring system, loading the generated generalized status codes to the central monitoring system, and transforming the generalized status codes to monitoring-specific simplified status codes.

Abstract: Status of software product(s) may be monitored through the cloud by Extract, Transform, Load (ETL) of status information, in the form of business process status indicators from customer tenants. Examples of such status indicators can include a backlog of tasks to be fulfilled, or a number of business documents present in specific processing states, which describe aspects of the business application and allow an understanding of the overall status of the monitored application. A data extractor component of a customer tenant may extract and transform the status indicators from a plurality of business documents. A data import framework of a central monitoring system may in turn employ mapping to condense that heterogeneous data into a monitoring-specific simplified status model.

Abstract: A system may include reception of an instruction to launch a report within a usage context, determination of a persisted view instance associated with the report based on the usage context, generation of a runtime view instance based on the persisted view instance, determination of whether the persisted view instance is associated with a first origin code or a second origin code, population, if the persisted view instance is associated with the first origin code, of a text attribute of each text field of the runtime view instance with text of a persisted user interface text instance corresponding to the text field, population, if the persisted view instance is associated with the second origin code, of the text attribute of each text field of the runtime view instance with a respective text attribute of the persisted view instance, and generation of a runtime instance of the report based on the runtime view instance.